Conversational analytics with Databricks Genie

Problem

Business teams depended on the data team to answer simple questions, creating a bottleneck and delaying decisions.

Architecture

flowchart LR
  D[(Databricks Lakehouse)] --> UC[Unity Catalog]
  UC --> GEN[Databricks Genie]
  USERS[Business teams] --> Q[Natural language questions]
  Q --> GEN
  GEN --> INS[Insights / Self-service]
  classDef a fill:#0d1525,stroke:#3b82f6,color:#e2e8f0
  classDef g fill:#0d1525,stroke:#10b981,color:#e2e8f0
  class D,UC,GEN a
  class USERS,Q,INS g

Solution

• Integrated governed data (Unity Catalog) with Databricks Genie.
• Set up natural-language question spaces over the data.
• Accuracy testing and context curation for reliable answers.
• Promoted and enabled tool adoption across teams.

Results

• Analytical self-service for business teams.
• Less dependence on the data team for recurring questions.
• Accelerated data-driven culture across the company.

Stack